Solon Barocas
Solon Barocas
Principal Researcher, Microsoft Research; Adjunct Assistant Professor, Information Science, Cornell
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Big Data's Disparate Impact
S Barocas, AD Selbst
California Law Review 104 (3), 671-732, 2016
Big Data's Disparate Impact
S Barocas, AD Selbst
California Law Review 104 (3), 671-732, 2016
Fairness and Machine Learning: Limitations and Opportunities
S Barocas, M Hardt, A Narayanan
MIT Press, 2023
Accountable Algorithms
JA Kroll, J Huey, S Barocas, EW Felten, JR Reidenberg, DG Robinson, ...
University of Pennsylvania Law Review 165, 633, 2016
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
SL Blodgett, S Barocas, H Daumé III, H Wallach
Conference of the Association for Computational Linguistics (ACL), 2020
The Intuitive Appeal of Explainable Machines
A Selbst, S Barocas
Fordham Law Review, 2018
Algorithmic Fairness: Choices, Assumptions, and Definitions
S Mitchell, E Potash, S Barocas, A D’Amour, K Lum
Annual Review of Statistics and Its Application 8, 2021
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
M Raghavan, S Barocas, J Kleinberg, K Levy
Conference on Fairness, Accountability, and Transparency (FAccT), 2020
Adnostic: Privacy Preserving Targeted Advertising
V Toubiana, A Narayanan, D Boneh, H Nissenbaum, S Barocas
Proceedings of the Network and Distributed System Security Symposium (NDSS), 2010
Big Data’s End Run around Anonymity and Consent
S Barocas, H Nissenbaum
Privacy, Big Data, and the Public Good: Frameworks for Engagement, 44-75, 2014
Ten Simple Rules for Responsible Big Data Research
M Zook, S Barocas, K Crawford, E Keller, SP Gangadharan, A Goodman, ...
PLOS Computational Biology 13 (3), e1005399, 2017
AI Now 2017 Report
A Campolo, M Sanfilippo, M Whittaker, K Crawford
Roles for Computing in Social Change
R Abebe, S Barocas, J Kleinberg, K Levy, M Raghavan, D Robinson
Conference on Fairness, Accountability, and Transparency (FAccT), 2020
The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons
S Barocas, A Selbst, M Raghavan
Conference on Fairness, Accountability, and Transparency (FAccT), 2020
Discriminating Tastes: Uber's Customer Ratings as Vehicles for Workplace Discrimination
A Rosenblat, KEC Levy, S Barocas, T Hwang
Policy & Internet, 2017
Governing Algorithms: A Provocation Piece
S Barocas, S Hood, M Ziewitz
Governing Algorithms: A Conference on Computation, Automation, and Control, 2013
Problem Formulation and Fairness
S Passi, S Barocas
Conference on Fairness, Accountability, and Transparency (FAccT), 2019
Big Data's End Run around Procedural Privacy Protections
S Barocas, H Nissenbaum
Communications of the ACM 57 (11), 31-33, 2014
The Problem with Bias: From Allocative to Representational Harms in Machine Learning
S Barocas, K Crawford, A Shapiro, H Wallach
Special Interest Group for Computing, Information, and Society (SIGCIS), 2017
Principles for Accountable Algorithms and a Social Impact Statement for Algorithms
N Diakopoulos, S Friedler, M Arenas, S Barocas, M Hay, B Howe, ...
Fairness, Accountability, and Transparency in Machine Learning, 2016
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